A computer-implemented method for supplying an electronic horizon for an autonomous motor vehicle. As part of a first method step, map data of a digital map are processed. As part of a second method step, a position of the autonomous motor vehicle is ascertained and, based on the processed map data, a position-dependent forecast of map elements that are located in front of the autonomous motor vehicle is generated, as a result of which the electronic horizon is supplied. The second method step is performed within a predetermined execution time and regardless of a processing time required for processing the digital map data.

An augmentation system may supplement a person's view from at least one of an actual vehicle or a virtual vehicle of an environment through which the vehicle travels. The system may include a receiver configured to receive data signals representative of operation of the vehicle and representative of objects in the environment through which the vehicle travels. The system may also include a converter in communication with the receiver. The converter may be configured to convert the data signals into display data representative of the operation of the vehicle and representative of the objects in the environment through which the vehicle travels. The converter may also be configured to communicate the display data to a display in communication with the converter and configured to display, within the person's view from the vehicle, images representative of the display data to supplement the person's view.

A change in usage mode of a facility is detected. An information analysis device (1) includes a visit pattern information creation section (112) which creates visit pattern information related to a facility from vehicle information from a plurality of vehicles and a transition in successive positional information, and creates visit vehicle information related to the facility by cumulating vehicles parked in a parking lot of the facility for every vehicle information; a visit pattern change determination section (113) which determines whether both a change amount after a predetermined time period of the visit pattern information and a change amount after a predetermined time period of the visit vehicle information have changed; and a facility change information creation section (114) which creates facility change information indicating a change in facility information.

Disclosed is a low memory based indoor positioning method performed by a computing device including at least one processor. The method may include: extracting coordinate information in which a sensing value is not recorded as empty space information from map data in which each of a plurality of sensing values measured in a plurality of coordinates is recorded; generating a sensing value array including the plurality of sensing values; and storing the empty space information and the sensing value array in a memory.

A method and an apparatus for correcting deformation of a digital map for a vehicle, includes loading a related part from the digital map; determining whether the related part includes road coordinate information in a first zone and road coordinate information in a second zone, wherein the road coordinate information in the first zone is associated with a first Cartesian coordinate system and the road coordinate information in the second zone is associated with a second Cartesian coordinate system; transforming the road coordinate information in the second zone to the first Cartesian coordinate system, if the related part includes the road coordinate information in the first zone and the road coordinate information in the second zone; and generating a corrected map by combining the road coordinate information in the first zone and the transformed road coordinate information in the second zone; wherein the first Cartesian coordinate system is the coordinate system of the vehicle for processing the road coordinate information.

In a vehicle remote instruction system, a remote commander issues a remote instruction relating to travel of an autonomous driving vehicle based on sensor information from an external sensor that detects an external environment of the autonomous driving vehicle. The vehicle remote instruction system sets a range of information to be transmitted to the remote commander among the sensor information detected by the external sensor, as a limited information range, based on the external situation or an external situation obtained based on map information and a trajectory of the autonomous driving vehicle.

Enclosed are embodiments of an ML-based framework for drivable surface annotation. In an embodiment, a method comprises: obtaining, using at least one processor, multimodal map data for a geographic region; and automatically annotating, using the at least one processor, one or more semantic masks of the map data using a machine learning model.

A system and method efficiently integrate a variety of available signals and sensors such as wireless signals, inertial sensors, image sensors, and/or the like, for robust navigation solutions in various environments while simultaneously generating and updating a location-based service (LBS) feature map.

A vehicle remote instruction system that includes a remote autonomous driving vehicle and a remote instruction apparatus in which the remote commander issues the remote instruction includes: a remote instruction request reception unit configured to receive the remote instruction request; a position information acquisition unit configured to acquire position information on a location where the remote autonomous driving vehicle transmitted the remote instruction request; a request occurring location determination unit configured to determine a location where the remote instruction request is transmitted at equal to or higher frequency than an instruction request frequency set in advance, based on the acquired remote instruction request and the position information; and a passing-detour location setting unit configured to set the location where the remote instruction request is transmitted at equal to or higher frequency than the instruction request frequency, as a passing-detour location for the remote autonomous driving vehicle.

Systems, methods, and apparatuses are described for updating navigational map data. A routing request is received for routing data. A version compatibility matrix may be accessed that corresponds to the routing request. An analysis is performed of a cache database, a main database, and the version compatibility matrix. A number of version conflicts between the cache database and main database are identified based on the analysis. Using these version conflicts, one or more routes based on the routing request are generated.